Ai engineer jobs in Boston, MassachusettsCreate job alerts

Job Title: Digital Engineer Contracting and Pricing DW Location: Cambridge MA Morristown, NJ Swiftwater, PA About the Job At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. The Digital Engineer Contracting & Pricing DW is a Technical Expert with responsibilities for solution delivery and support of US Contracting & Pricing Data warehouse system. This role will deliver Technical analysis and expertise for Digital Technology solutions for Projects, Products or Solutions within Contracting & Pricing in US. He(she) leads and executes Technical expertise all along the lifecycle (plan, design, build, run) of US Contracting & Pricing Data warehouse system. This role will ensure the integrity and movement of data throughout the contracting ecosystem which ultimately supports the operational, reporting, analytical, and regulatory (government pricing) applications within the US. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: * Responsible for all activities related to the centralized data repository (e.g. ICW) and Contract Analytics systems in US that support operational, reporting, analysis, and regulatory applications * Provides expert knowledge of all integrations within the Contracting & Pricing ecosystem in US. * End-to-end responsibility for solution from Digital project planning through execution, solution installation and transition to support team * Provides oversight and guidance to the Application Managed Services (AMS) team * Interfaces directly with customers and project team members to understand the need and objectives * Responsible for projects and enhancements in the ICW and Contract Analytics area across all phases of development; works as part of an interdisciplinary team to achieve project milestones; makes vital decisions and drive decision making across initiatives * Ensures US Contracting & Pricing platform architecture is compliant with Sanofi Security, Data, Quality and Compliance requirements thus reducing time to market * Provides inputs for selection purpose and/or performance monitoring concerning Statement of Work (SOW) with vendors and subcontracting partners * Contributes actively to Operational excellence: Facilitating risk management and conducting/contributing to Problem root causes analysis * Collaborates transversely across Sanofi's Digital community to share ideas, common solutions, and best practices thereby harmonizing solutions and developing repeatable, scalable best practices About You QUALIFICATIONS: * Bachelor’s Degree in Computer Science, Software Engineering or related field * 4+ years- Technical Expert with Contracting and Pricing domain knowledge * Strong knowledge and hands-on experience with Oracle, SQL, PL/SQL, Snowflake, UNIX and data warehouse technologies * Broad subject matter expertise across cloud computing, infrastructure, IT operations, network, applications, enterprise architecture, and data management * Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity * Project Management * Agile approaches * Must possess good communication skills (oral, written, and presentation) and be able to convey technical concepts to a non-technical audience * Understanding of the relevant Legal Regulatory and Quality requirements helpful * Understanding of the Model N Flex platform and business processes preferred SKILLS & COMPETENCIES: Job Specific Skills & Competencies * Technical Expert with data warehousing technologies, Oracle, SQL, PL/SQL, Snowflake, UNIX * E2E solutions leveraging cloud offerings to support Contracting & Pricing systems and interfaces * Application design and integration * Partnering relationship with the Strategic Contracting and Pricing business user community * Ensures the performance of the services included in his/her scope (Business Value created, Financials, Respect of SLA, Compliance) Transversal Skills & Competencies (Soft skills) * Business Acumen * Problem Solving * Decision Making * Critical Thinking * Transversal collaboration Why Choose Us? * Bring the miracles of science to life alongside a supportive, future-focused team. * Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. * Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. * Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can ___ All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer Richmond, VA: $239,900 - $273,800 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (GenAI Platform Services, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Data Engineer (Python, AWS, SQL, AI, ML) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,___inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 9+ years of experience in application development including Python, SQL, Scala, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing AI and ML algorithms or technologies * 4+ years of experience with NoSQL implementation (Mongo, Cassandra) * 4+ years of data warehousing experience (Redshift or Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionNational Building Design Engineering firm looking for an executive level engineering manager to help drive business development in the commercial, healthcare and higher education space along with manage day to day operations This Jobot Job is hosted by: Riley Duffy Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We are a Full-Service Engineering company that specializes in providing design and engineering services for all aspects of building and utility infrastructure construction. Our retention rates are incredible and have extremely long term partnerships and client relationships. We have an opportunity for a senior level electrical or mechanical engineer to join our team and help grow our New England presence. Experience within commercial, industrial, higher education and/or healthcare is a plus. This can be an opportunity to join our ownership team as well. Why join us? • Excellent work environment, • Training and professional development, • Competitive salary, • Exceptional 401K retirement plan, • Paid holidays and vacation Job Details Actively engage in milestone and final reviews of design deliverables to ensure top-tier quality in all work products Collaborate closely with Discipline Leads and Project Managers to review and provide feedback on drawing sets and specifications Identify and resolve errors or omissions in drawings and specifications, promoting a culture of excellence within the Technical Delivery Team Drive Continuous Improvement: Gather input from Discipline Leaders and Project Managers to capture Lessons Learned from each project Develop and implement actionable plans for continuous improvement to enhance performance on future projects Workload & Productivity Management: Oversee daily workload prioritization for all projects, ensuring efficient project assignments and resource allocation Work with Discipline Leads and Project Managers to plan and manage workloads effectively Forecast resource needs and facilitate their acquisition, either temporarily from other offices or permanently through recruitment Collaborate with other Engineering Managers to optimize resource utilization, production quality, and professional development Monitor weekly labor utilization to maximize productivity and ensure project efficiency To succeed in this role, you should have: A minimum of 7 years of experience leading multi-disciplinary design teams (experience in Healthcare or Higher Education is preferred; additional experience in Life Sciences or Industrial markets is a plus) At least 15 years of experience in design and construction document production (preferably in Healthcare or Higher Education, with additional experience in Life Sciences or Industrial markets a plus) Experience serving as Engineer of Record Strong communication and interpersonal skills, with the ability to collaborate effectively with both team members and clients Proficiency in MS Office, MS Project, and Bluebeam A BS degree in Engineering from an ABET-accredited institution (MS in a related field is preferred) Professional Engineer (PE) licensure Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.Company DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

Job DescriptionHybrid - Civil Engineer This Jobot Job is hosted by: Jim Forman Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $125,000 - $175,000 per year A bit about us: We are seeking a highly skilled and experienced Civil Engineer who is passionate about designing, constructing, and maintaining infrastructure. This role will require you to be a part of a dynamic, creative, and innovative team focused on delivering top-notch solutions in the field of Civil Engineering. You will be involved in large-scale projects that will shape the future of our community. This is an exciting opportunity for an individual who is eager to apply their knowledge and skills in Civil 3D, Geopak, InRoads, Roadway, Land Surveying, Site Development, and possesses a Professional Engineering License. Why join us? This is a fantastic opportunity for a Civil Engineer looking to take the next step in their career. If you are a dedicated, ambitious, and innovative professional with a passion for civil engineering, we would love to hear from you. Apply today! Job Details As a Civil Engineer, your key responsibilities will be: 1. Developing design concepts and producing contract documents based on client needs., 2. Managing and coordinating with teams to ensure projects are completed satisfactorily, on time, and within budget., 3. Conducting land surveys and site development activities, ensuring compliance with local, state, and federal regulations., 4. Utilizing software such as MicroStation, 2D AutoCAD, Civil 3D, Geopak, InRoads, and Roadway for design purposes., 5. Implementing innovative engineering solutions to resolve complex technical issues., 6. Preparing and presenting detailed reports on the progress of projects., 7. Coordinating with contractors, architects, and other project stakeholders., 8. Ensuring projects run according to schedule and budgets., 9. Applying expert knowledge of design principles and practices in broad areas of assignments and related fields., 10. Appraising the feasibility and advisability of recommending, scheduling, and carrying out engineering projects. Qualifications: To be successful in this role, you will need: 1. A Bachelor's degree in Civil Engineering or a related field. A Master's degree will be an added advantage., 2. A minimum of 5 years of relevant experience in civil engineering, specifically within the finance industry., 3. A Professional Engineering license is required., 4. Proficiency in MicroStation, 2D AutoCAD, Civil 3D, Geopak, InRoads, and Roadway., 5. A solid understanding of land surveying and site development., 6. Strong project management and leadership skills., 7. An ability to work under pressure and multitask in a fast-paced environment., 8. Excellent communication and interpersonal skills., 9. A keen eye for detail and a strong focus on quality., 10. Proven ability to solve complex problems and make sound engineering decisions. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.Company DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

Description Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company. Liberty Mutual Investments Technology (LMI Tech) is actively searching for a Solutions Architect to work across our organization to design and shape our overall Generative AI strategy. Join a green-field initiative to embed Generative AI across our Investments organization. You’ll be the technical quarterback tracking the fast-moving Gen AI ecosystem, translating capabilities into high-value investment use cases, and leading an engineering pod from whiteboard to production. Note: This role has a required hybrid work arrangement (2x per week in Boston or NYC). About the role: Key responsibilities • 40% Solution & architecture design: Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery, • 40% Hands-on engineering: Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS, • 20% Stakeholder & product collaboration: Partner with the Product Owner and Investments stakeholders to refine requirements, set technical direction, and evangelize Gen AI opportunities. Liaise with Compliance, Privacy, and central GenAI teams. Additional duties • Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap, • Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development, • Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Highly qualified applicants will have: • Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others, • Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred)., • Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles., • Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation., • Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style., • Nice-to-haves: knowledge of MCP server patterns, React, LangChain or similar orchestration tools, Investments domain exposure Why join us • Mission impact: Shape the Gen AI strategy for a highly regulated, high-stakes Investments environment where innovation drives real portfolio value., • Green-field canvas: Build new capabilities from scratch with executive sponsorship and strong R&D investment., • Growth & visibility: Own both the architecture vision and the code, interfacing with senior leadership while mentoring a hand-picked team., • People-centric culture: Collaborative, inclusive, and outcome-focused backed by competitive benefits and work-life balance If you’re passionate about turning cutting-edge Gen AI into tangible investment insights, and enjoy both coding and architectural leadership, let’s talk. Submit your resume that highlights your experience with Gen AI solutions you’ve designed or built. Qualifications • At least 10 years of related experience, • Knowledgeable in software engineering languages and tools; proficient in new and emerging technologies, • In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles, • In-depth understanding of layered solutions and designs; in-depth understanding of shared software concepts and product features, as well as security minded, • Proficient in all product and system components of technical architecture, • In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry, • Strong influencing and consensus building skills, and the adaptability to respond to change quickly, • Strong communications skills, both written and verbal, • Ability to effectively collaborate with all levels of the organization with diverse backgrounds, • Proven experience with agile practices and expectations, • Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly, • Highly developed oral and written communication skills; strong presentation skills As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices • California, • Los Angeles Incorporated, • Los Angeles Unincorporated, • Philadelphia, • San Francisco

Description Do you have the skills and drive to join a tech team working to digitally transform a trillion-dollar industry? From applying cutting-edge technologies like Gen AI and ML in mission-critical projects to building intuitive consumer apps, Liberty Mutual constantly innovates and develops industry-leading solutions that bring peace of mind to our customers worldwide. As a Senior Software Engineer in USRM Personal Line Products Tech - Risk Pricing, you'll apply your skills and expertise to lead complex projects and solve technical challenges at the core of insurance products. You’ll work in a fast-paced, agile environment that combines the innovative spirit of a startup with the full resources and support of a Fortune 100 company. Our team focuses on top-tier business investments and stays at the forefront with the latest capabilities and tools that shape the insurance industry. We encourage you to apply and bring your expertise if you’re a: • Technical problem solver: Going far beyond simply developing error-free source code, test scripts, components, and system architectures, you’ll document and build deployment guides aimed at maintaining robust, relevant software., • Customer-centric engineer: Putting clients’ needs first, you’ll translate customer requirements into technical applications and support the implementation of new software., • Motivated mentor: Exercise your technical chops while coaching and collaborating with junior software engineers., • Forward thinker: Merely fixing a problem isn’t enough; using your proactive mindset and initiative, you’ll also identify opportunities to enhance performance, quality, and efficiency. Experience • Six or more years of software engineering experience, • Strong background in business operations and strategies, including global technology and financial services trends, • Hands-on involvement with layered systems architectures, designs, and shared software concepts, • Familiarity with functional and system integration testing, • Experience working with Agile methodologies (Scrum, Kanban, XP) and cross-functional teams (Product Owners, Scrum Masters, Engineers, Designers, Business Analysts)., • Experience across existing domains such as CFA, CFP, CSW, Q&I, Mainframe, Output, PA, Pricing, or PCA is highly desirable. Skills • Excellent negotiation, facilitation, and consensus-building capabilities, • Openness and adaptability to respond to fast-moving circumstances, • Working knowledge of REST APIs, Java, Spring, AWS or Azure, relational and non-relational databases, and SQL, Event-Driven Architectures, Rules Engines, and Quality Engineering, • Excellent oral and written communication skills, • Aptitude for working in teams, • Experience with Gen AI and ML tools is a plus Knowledge • In-depth knowledge of diverse and emerging technologies, architectural concepts, and principles, • A deep understanding of layered solutions and designs, • Awareness of policies regarding security and privacy, • Understanding of backlog tracking, burndown metrics, and incremental delivery Qualifications • A minimum of five years of software engineering experience, • A background in business operations and strategies, with a focus on business IT, • A history of translating client requirements into technical designs, • Agile engineering capabilities and a design-thinking mindset, • Collaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development team, • Strong oral and written communication skills - and a knack for explaining your decision-making process to non-engineers, • A thorough grasp of IT concepts, business operations, design and development tools, system architecture and technical standards, shared software concepts and layered solutions and designs, • Proficiency in software engineering languages and tools, including Java and RESTful services, spanning horizontal and vertical packages, • An understanding of how modifications affect different parts of a system and an ability to explain your decision-making process to non-engineers As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices • California, • Los Angeles Incorporated, • Los Angeles Unincorporated, • Philadelphia, • San Francisco

Job Description Description Verista's 500 experts team up with the world's most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world's most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities. Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day. Company Culture Guidelines & Values: • We empower and support our colleagues, • We commit to client success at every turn, • We have the courage to do the right thing, • We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged. Job Responsibilities: • Collaborate with Business Analysts and Software/Automation Engineers in the complete product lifecycle management of Digital Quality Automation Systems (Hamilton Venus, Waters Andrew+ with OneLab, etc.) and Enterprise Instrumentation Systems (Chromeleon Chromatography Data System, Scientific Data Management System (LogiLab), CFR Gateway (LogiLab), SoftMax Pro, MODA, etc.) including optimizations, support, maintenance updates and version upgrades, • Translate system/equipment/data integration requirements from various teams into deployable Digital Laboratory System solutions, • Manage change control for regulatory Digital documentation (SOPs, work instructions, etc.) required to demonstrate appropriate compliance, • Partner with stakeholders to validate and integrate key systems into the connected instrument pipeline, future robotics/automation capabilities and AI initiatives, • Identify opportunities to optimize current processes and implement upgraded solutions, • Ensure GMP compliance in the design, delivery and maintenance of all systems, • Maintain inspection readiness throughout the duration of the project, • Bachelor's degree or equivalent in science, engineering or computer science discipline, • 5 to 7+ years' experience designing, implementing, and managing life sciences enterprise systems (CDS, SDMS, LIMS, ELN, LES) in a biopharmaceutical GMP environment, • Direct experience with automation solutions such as Hamilton Venus, • Experience working with advanced automated laboratory analytical systems such as Waters Andrew+, Oxford Nanopore, and Hamilton Venus liquid handlers, • Experience with GAMP and GxP compliance regulation, • Experience with data integrity regulations, instrument integration and laboratory digital workflow optimization, • Experience with Digital systems hosted in the cloud and an understanding of connectivity between on-prem systems and SAAS/Cloud, • Strong understanding of core laboratory systems, related processes, and quality management workflows, • Ability to work independently and in a team setting, with the ability to effectively communicate cross-functionally, • Ability to support multiple concurrent projects in a fast-paced environment, • Strong interpersonal and relationship-building skills, • Ability to be on-site 3-4 days/week between Marlborough, MA and Norwood, MA locations For US geography, the salary range for this position is shown below. The actual salary is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs, market demand, and competitive market practice. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This salary range is subject to change and may be modified in the future. *Verista is an equal opportunity employer. National (US) Range$85,000—$136,225 USD Benefits Why Choose Verista? • High growth potential and fast-paced organization with a people-focused culture, • Competitive pay plus performance-based incentive programs, • Company-paid Life, Short-Term, and Long-Term Disability Insurance., • Medical, Dental & Vision insurances, • FSA, DCARE, Commuter Benefits, • Supplemental Life, Hospital, Critical Illness and Legal Insurance, • Health Savings Account, • 401(k) Retirement Plan (Employer Matching benefit), • Paid Time Off (Rollover Option) and Holidays, • As Needed Sick Time, • Tuition Reimbursement, • Team Social Activities (We have fun!), • Employee Recognition, • Employee Referral Program For more information about our company, please visit us at Verista.com

Job Description We’re looking for a Senior Software Engineer with strong Rust and Python expertise and a product-focused mindset to help build a new class of AI-powered transpilation and code generation tools. These tools bridge the gap between algorithm development and embedded deployment, leveraging the latest in Generative AI, Static Analysis and Formal Verification. This is more than a backend role, we’re seeking engineers who can think end-to-end: from understanding user needs and UX, to delivering robust and scalable systems across the full stack. Requirements • 5+ years of professional software development experience., • Expert-level proficiency in Rust and Python., • Strong experience delivering entire software products, not just isolated services you understand how frontend, backend and APIs come together., • Product-oriented mindset - you think about UX, system behavior and real-world impact., • Comfortable working cross-functionally with design, product and sometimes even customers., • Strong software engineering practices: version control, code review, testing, continuous integration and deployment., • Previous experience with greenfield projects and production build experience Why Code Metal? • Mission with impact: your visuals steer the conversations that shape tomorrow’s force., • Velocity: tight loops, tiny teams - design in the morning, deploy by evening., • Health care plan with 100% premium coverage, including medical, dental, and vision., • 401k with 5% matching., • Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)., • Flexible hybrid work arrangement., • Relocation assistance for qualifying employees.

Job DescriptionWho We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Annoucements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do • Responsible for designing, developing, training, and validation of AI/ML products, • Support and advise executive leadership regarding technical and commercial feasibility, • Work with commercial teams to understand the impact of AI in life-sciences Requirements • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston region., • Advanced degree in Biological, Data, or Computer Science, • 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments., • Portfolio demonstrating end-to-end ownership of AI/ML products, • Proven track record of deploying AI models addressing real world problems, • Superior talent developing at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models Preferred Qualifications • Degree in AI or ML, • Deep understanding of hurdles facing pharmaceutical drug development, • Demonstrated ability to make productized applications (for use by more than one group), • Excellent communication skills, • Ability to advocate and evangelize for AI initiatives internally and externally, • A culture of continuous improvement where you can grow your career and get coaching, • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Company paid Life Insurance, LTD/STD We are not currently providing visa sponsorship for this position

Job Description Help redefine how the DoD makes multi-billion-dollar force-design decisions. In this role, you'll fuse physics-driven simulation, interactive computing, and verified AI code-generation to create next-generation wargaming platforms. If building ultra-low-latency APIs, taming high-volume geospatial data, and leading with clean, production-ready Python gets you fired up, let’s talk. What you’ll do • Own the service layer—design, build, and scale FastAPI micro-services and lightning-fast ZeroMQ messaging pipelines running in Kubernetes and bare-metal clusters., • Wrangle data at speed & scale—shape and query multi-TB Postgres/PostGIS datasets, orchestrate Redis for sub-millisecond state, and keep everything rock-solid under bursty load., • Glue the stack together—expose crisp, well-versioned REST & WebSocket endpoints for the frontend crew and simulation kernel., • Ship continuously—automate CI/CD, observability, and security hardening to DoD standards; push to prod with confidence., • Lead by doing—drive code reviews, mentor teammates, and set the standard for test coverage and documentation. Why Code Metal? • Mission with impact: your APIs become the nervous system of digital battlefields influencing multi-billion-dollar defense acquisitions., • Velocity: tight-knit teams, weekly releases, zero bureaucratic drag. Must-have credentials • 4+ years building production backends in modern Python, with deep FastAPI (or equivalent async framework) experience., • Proven expertise in ZeroMQ, NATS, Kafka, or similar high-throughput messaging systems., • Hands-on with Postgres/PostGIS and Redis in performance-critical workloads., • Cloud-native chops—Docker, Kubernetes, and one major provider (AWS, GCP, Azure, or GovCloud)., • Active Secret clearance or eligibility to obtain one. Bonus points, • C++ or Rust skills for bridging high-performance simulation modules., • Hardened services for FedRAMP / STIG compliance., • Observability mindset—Prometheus, Grafana, OpenTelemetry., • Health care plan with 100% premium coverage, including medical, dental, and vision., • 401k with 5% matching., • Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)., • Flexible hybrid work arrangement., • Relocation assistance for qualifying employees.

Job DescriptionAbout Yuma AI: Yuma is building a complete orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce. We are one of the leaders in this space and we offer one of the most advanced platforms to date, supporting over 100 paying customers. Our agents replicate human capabilities by taking actions and retrieving information from external services as needed. Our top merchants automate over 80% of their support tickets through Yuma. Yuma was founded by Guillaume Luccisano, a 3rd time YC founder, and now boasts a team of 20 highly dedicated, talented people driven to deliver the best value to our customers through AI. Role Overview We remain a small team of 5 engineers, but we are intense and we move very quickly! Fast iteration is key. In the past 2 years since Yuma’s founding, we’ve built a lot, but there is still much more to do! We operate at startup speed and handle everything: product iterations, A/B testing, LLM research, AI Agents pipeline, new feature development, performance optimizations, and more. We are intensely focused on delivering value to our users and on product excellence. That is the only thing that matters. Our backend is a standard Ruby on Rails API powered by PostgreSQL, Redis, and Sidekiq. Our frontend uses Next.js and React. We already handle a significant load, ingesting and processing millions of support tickets per month and millions of e-commerce data points per day. We are definitely not a 9-to-5 team, and we are heavily committed to delivering excellence throughout our craft. The ideal You: You have led and built multiple large Rails applications, and you always strive for excellence. You are pragmatic, making the right trade-offs that favor speed of iteration while maintaining high product quality. You are driven by delivering the best experience and value to your users. You might have a preference for working on backend projects, but you aren’t afraid of frontend work. Rails has no secrets for you. Recent experience playing with LLMs is now mandatory, and you have already adopted AI in your day-to-day tasks. Building with LLMs and managing non-deterministic output is not scary to you. If you are relentless, deeply caring about delivering value & ownership, and looking to join an early, hard-working team, we want you 👈. We are seeking someone who is looking to embrace a new challenge and commit to it 100%. Your diploma doesn’t matter to us; we only care about your skills, your sense of ownership, and drive. The Alternative You: If you’re still junior, but the description above sounds like the person you aim to become in the next 3 years, don’t be shy: there’s always space for raw talent at Yuma. OUR CULTURE Please, if you are considering applying, first read our culture page:

Job DescriptionCompany Description Job Description Job Summary We are seeking a skilled AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with experience in developing algorithms and models that leverage large datasets. You will be responsible for designing, implementing, and optimising machine learning solutions to solve complex problems and enhance our product offerings. Duties Develop and implement machine learning models using frameworks such as TensorFlow and Spark. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Conduct data mining and analysis to identify trends and insights that inform decision-making. Design and maintain databases, ensuring efficient data storage and retrieval. Write clean, maintainable code in languages such as Python, Java, C, and R. Utilise cloud services like AWS for deploying machine learning applications. Implement natural language processing techniques to enhance user interaction with AI systems. Perform regular testing and validation of models to ensure accuracy and reliability. Document processes, methodologies, and results for future reference. Qualifications Qualifications Proficiency in programming languages including Python, Java, C, R, and VBA. Experience with big data technologies such as Hadoop and Spark. Strong understanding of machine learning concepts and algorithms. Familiarity with database design principles and SQL for data manipulation. Knowledge of Bash (Unix shell) for scripting tasks. Additional Information All your information will be kept confidential according to EEO guidelines.

Director, Software Engineering – Asset Management Technology The Role You are an experienced engineer with a deep hands-on experience of systems development, and a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals. You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with senior business, architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today’s engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time. This position is for an individual contributor role, meaning that you will not have any direct reports or management responsibilities. This is a very hands on, technical development role where you will be expected to be doing development work with the team. The Expertise and Skills You Bring • A Bachelor’s or Master's Computer Science or relevant field, with ten years plus of industrial experience., • Proficient in deploying software products into production capable of handling large volumes of data at scale., • Design, develop, and maintain robust, scalable, and secure Python-based applications and services., • Strong understanding of Python internals, performance tuning, and advanced language features., • Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards., • Optimize Python applications for performance, memory usage, and concurrency., • Ability to orchestrate solutions within a cloud-based environment, • Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud., • An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings., • Strong attention to detail with a passion for validation and verification of software components., • Excellent communication skills and the ability to work with distributed team members. We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management – analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts – e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks. Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Job DescriptionPosition Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data. You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement Key Responsibilities • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning., • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets., • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets., • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity., • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models., • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA)., • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability., • Document data engineering processes, data models, and data dictionaries., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Data Engineer, with a focus on big data technologies., • Strong proficiency in programming languages such as Python, Scala, or Java., • Extensive experience with data warehousing, ETL processes, and data modeling., • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services., • Hands-on experience with big data frameworks like Apache Spark for distributed processing., • Excellent problem-solving skills and the ability to work independently and as part of a team., • Strong communication and interpersonal skills.Preferred, • Master's degree in a related field., • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7)., • Familiarity with machine learning concepts and LLM fine-tuning processes. Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: • Competitive salary and benefits package., • Flexible working arrangements (remote or hybrid options available)., • The opportunity to work on life-changing AI technology that directly impacts patient outcomes., • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity., • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Job Description Job Title Principal Software Engineer - Program Analysis for AI Overview We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems. In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. Requirements Responsibilities ● Define Software Architecture for Agentic AI pipelines. ● Build well tested extensible code foundations for code translation products. ● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline. ● Collaborate with the software engineering and research teams to build robust code repositories and continuous integration processes. Must Have ● Seven or more years of experience with collaborative enterprise-level software development in C++ to deliver products to a large customer base ● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs ● Demonstrated experience planning and executing on large projects in a team-based setting ● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems Great to Have ● Experience with Compiler development - experience with Clang, LLVM ● Experience with advanced software verification techniques like fuzzing and/or formal verification ● Python experience ● Experience with ML Tools and Frameworks ● Experience working with embedded, heterogeneous (FPGA and/or GPU), and/or distributed systems

Job Description PURPOSE Videray Technologies exists to create a safer society across the globe. We have created some of the world’s most powerful, user-friendly, and ultra-portable handheld x-ray inspection devices to help our clients see through surfaces to detect illicit drugs, contraband, and potential threats. Our technology is already progressing on this mission domestically and internationally in over 80 countries. You’ll be working with a fun, intelligent, and driven group of individuals to ensure we can continue fulfilling this mission in the years to come! POSITION We are seeking a Senior Full Stack Software Engineer with a strong background in Android, C++, and modern graphics/compute frameworks (Vulkan, OpenGL, etc.) to help us advance our next generation of handheld imaging devices. This role will span embedded software, UI/UX development, data processing pipelines, and AI/ML integrations (OpenAI, PyTorch, TensorFlow). This is an on-site role in our Boston, MA office. You will work closely with electrical, mechanical, and physics engineers to bring highly integrated systems to life. This is a hands-on technical leadership role where you’ll be expected to design, implement, and optimize across the stack—from low-level device control to front-end user interfaces. KEY RESPONSIBILITIES • Design, develop, and optimize applications for Android platforms with C++ and Java/Kotlin., • Implement GPU-accelerated algorithms for image rendering and data processing using Vulkan (or related APIs)., • Build and maintain APIs that bridge hardware, firmware, and user applications., • Integrate AI/ML models (OpenAI and other frameworks) into production software for real-time inference., • Collaborate with hardware engineers on sensor integration, performance optimization, and system debugging., • Contribute to UX/UI development for field-ready Android apps., • Write clean, efficient, well-documented code and participate in peer code reviews., • Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Physics, or related field., • 8-10 years of experience in software development with strong proficiency in C++ and Android (Java/Kotlin, NDK)., • Hands-on experience with Vulkan, OpenGL, or other graphics/compute APIs., • Familiarity with AI/ML integration (OpenAI, TensorFlow, or PyTorch)., • Experience working on cross-platform systems that integrate with hardware., • Strong grasp of data structures, algorithms, and performance optimization., • Excellent problem-solving skills and ability to collaborate in a fast-paced, multidisciplinary team., • Ability to work from our Boston office 5 days per week., • Must be authorized to work in the U.S. Top Performers will demonstrate: • Background in physics, imaging systems, or computational graphics., • Experience with embedded Linux, device drivers, or low-level firmware/software., • Familiarity with computer vision and image reconstruction pipelines., • Competitive salary and equity opportunities., • Flexible paid time off and company 401k contribution., • Comprehensive health, dental, and vision benefits., • Collaborative, mission-driven culture with a strong emphasis on innovation., • Opportunities for career growth and leadership in a fast-scaling company., • A chance to work on cutting-edge products that make a global impact., • Free Team lunch on Fridays.

Job Description ✨ About us ✨ Photoroom was launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our mission is clear: to create the best visuals for your commerce. We put the power of great images into more people's hands through our powerful and innovative features, from our best-in-the-world background remover to our generative AI model and tools: AI Images, AI Backgrounds and Shadows, AI Expand, and many more. Processing over 5 billion images a year and downloaded over 200 million times, Photoroom is now the world's #1 AI photo-editing app, available across mobile, web, and via an API in over 180 countries. We are a profitable, remote-friendly company headquartered in Paris with a global team of over 100 world-class deep learning, product, and marketing experts with backgrounds at the world's best companies. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ * You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. * You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. * You will master the whole pipeline, from training models to putting them into production and monitoring their performance. * You will work on new features, new applications, and some 0→1 solutions. * You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. * You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ * You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. * You have a deep experience with diffusion models, for image creation or edition. You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. * You are always the most pragmatic person in the room. * You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. * You have experience working on products requiring complex architectures. * You have a strong sense of ownership. * You take initiative and you are at ease to make product & technical decisions. * You have worked as part of a talented team and have experience in a fast-growing startup. * You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. * You are fluent in English (French is not required!). ✨ Hiring Process ✨ * Screening call with our Head of AI * Home technical assignment, reviewed with the team * Culture fit interview and meet the team! * Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers' parts. This team's solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully. This role does not require previous knowledge of manufacturing or ML, though it is helpful. The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team. This position requires both technical leadership and hands-on contribution. Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating. Responsibilities: • Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams., • Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills., • Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering., • Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines., • Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics., • At least 8 years of experience in software engineering or similar technical roles., • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience., • Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team's use of these practices, • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes), • Experience designing, building, and managing distributed computing systems, • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, • Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively, • Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors, • Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description We are seeking a Full Stack Ruby on Rails Engineer who is skilled at building scalable applications and comfortable leveraging AI in both development workflows and product features. This will be icortica’s second full time engineer in our very small startup with big plans. You will work across the stack, from backend services and APIs to front-end interfaces, helping us deliver data-driven insights and workflow automation. Responsibilities • Primary focus on developing integrations with third-party systems and our own API, • Build and maintain full stack web applications with Ruby on Rails, PostgreSQL, and modern front-end frameworks, • Write high-quality, well-tested code, • Optimize application performance, scalability, and security, • Collaborate with product and design teams to deliver features end-to-end, • 1-2+ years in a startup environment, • Strong proficiency with Ruby on Rails (5+ years professional experience preferred), • Solid understanding of PostgreSQL and relational database design, • Knowledge of multi-tenant architectures and data privacy/security best practices, • Experience with background job processing and automated testing, • Front-end experience with HTML, CSS (Tailwind), JavaScript, and Hotwire (Stimulus and Turbo)., • Demonstrated experience using AI tools (Cursor, Codex, Claude Code) in the development process, • Health Care Plan (Medical & Dental), • Paid Time Off (Vacation, Sick & Public Holidays)

Job Description Mission Summary Motional's CORE team is responsible for our vehicle's Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. What You'll Be Doing: As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. Specifically, you will: • Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms., • Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches., • Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures., • Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures., • Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system., • Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack., • Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies., • Strong experience with modern C++ development in a Linux environment., • Experience with parallel and high-performance computing., • Comfortable with experimentation and evaluating different options as we work towards finding solutions that work., • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks., • Experience with embedded systems development for ARM-based system-on-chip architectures., • Experience working in a MLOps or DevOps environment. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000—$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description LMI Technologies, recognized as one of Canada’s Best Workplaces, is a medium-sized technology company built on a culture of openness, respect and professional excellence. At LMI our staff work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world. The result of this teamwork is high-performance, easy-to-implement and cost-effective 3D sensor technologies that deliver the best results in even the most challenging 3D inline inspection applications. What will you do as an AI Solutions Software Engineer?At LMI, AI Solutions software engineers develop robust end-to-end AI-based inspection systems for factory applications. The systems include robust sensors, edge-devices, and cloud services. As a software engineer, you will develop and support custom inspection solutions using Gadget and GoPxL based edge platforms and the GoFactory cloud based inspection monitoring and management platform. You will be a key part of the AI Solutions team in the Boston office and will report to the Senior Director - AI Solutions Team. • Develops last-mile software, tests, and documentation for custom inspection solutions using existing FactorySmart products: Gadget, GoPxL, and GoFactory., • Interacts directly with customers to gather system requirements and deploy and troubleshoot inspection systems, • Prototypes new inspection systems using lab and virtual resources, • Creates custom scripts to integrate with customer industrial systems, • Provides post-sales support to customers using FactorySmart systems, • Develops public software, tests, and documentation for LMI public Github libraries, • Develops private software, tests, and documentation for new Gadget and GoFactory features., • Develops lab automation systems, and internal tooling and infrastructure, • Benchmarks and optimizes system performance on x86 and ARM embedded edge processor systems, • Participates in agile software development process including daily stand-up meetings, story/ticket generation, and backlog refinement activities.What do you need to be successful?, • Electrical Engineering and Computer Science (EECS) degree is preferred, • 1-3 years of related work experience, • Extensive knowledge of Python, • Familiarity with C/C++ to develop hardware interfaces, • Experience with Linux systems and bash scripting, • Familiarity with cloud platforms such as AWS, GCP, and Azure, • Familiarity with embedded systems such as Raspberry Pi or Nvidia Jetson, • Familiarity with TensorFlow, PyTorch, OpenCV and other AI/image processing technologies, • Experience with version control systems, build technologies, and continuous integration systems., • Comfortable developing and debugging industrial control software using a variety of hardware and software tools, • Comfortable prototyping electronic control systems and visual inspection applications, • Familiarity with Docker, Terraform, Kubernetes or other containerization, orchestration and deployment technologies., • Familiarity with Ethernet networking and common protocols, • Familiarity with web development technologies such as CSS, Javascript, HTML and React, • Familiarity with networking and security principles, • Good verbal and written communication skills While we appreciate your interest in LMI very much, we are only able to respond to candidates selected for further consideration. We look forward to talking to you about the possibilities of beginning a rewarding new chapter of your career! Why being inclusive is important to us? At LMI Technologies, we are an Equal Opportunity employer and we value the diversity of the people we hire and serve. We strive to build and grow our team that fosters variety in backgrounds, perspectives, experiences and skills. We embrace inclusiveness in our workplace, so we can utilize each person’s talents and strengths. If you are interested in working for a fast-growing global technology company with an inspiring and engaging workplace environment, we invite you to apply and talk about the possibilities of beginning a rewarding new chapter of your career. We assure you, once you complete your application, your information is safe with us. To learn more about how we use your personal data, please review our Privacy Policy (). Powered by JazzHR wBwaFGXQmQ

Job Description Infrastructure Engineer Our client is an innovative defense technology company that builds cutting-edge autonomy software for unmanned systems. They have secured $10M in funding and have established relationships with defense customers. Their revolutionary approach involves rethinking autonomy from the chip up, utilizing modular AI, advanced visual-inertial sensing, and real-time edge compute technology to unlock next-generation mission capabilities. We are seeking a high-caliber Infrastructure Engineer to lead and own the design, implementation, and day-to-day operations of their infrastructure stack across software and hardware development environments. This is a hands-on role for a self-starter who thrives in fast-moving environments, requires limited oversight, and is ready to grow into a leadership position as they scale. Core Responsibilities: • Architect, deploy, and maintain secure, scalable infrastructure using Infrastructure as Code (IaC) best practices, • Own and evolve CI/CD pipelines, build systems, and developer environments in Linux-based ecosystems, • Lead automation of provisioning, configuration, and system management for cloud and on-premises environments, • Support security compliance and audits, implementing controls, access policies, and secure workflows, • Administer local and cloud resources, including servers, VPNs, storage, and internal services, • Configure and maintain internal networks, firewalls, VLANs, and secure cross-domain communication, • Serve as primary point of contact for infrastructure troubleshooting and incident response Required Qualifications: • Strong experience with Infrastructure as Code tools (Terraform, Ansible, or equivalents), • 5–10+ years of experience in infrastructure, DevOps, or SRE roles, • Deep proficiency with Linux systems, networking, firewalls, and scripting (Python, Bash, etc.), • Hands-on experience with modern CI/CD tools (GitLab CI, Jenkins, GitHub Actions, ArgoCD), • Experience with security protocols, IAM, container hardening, and compliance frameworks (CMMC, NIST, etc.), • Proven ability to operate autonomously and drive initiatives from start to finish, • Experience supporting hardware/software integration environments, • Experience in regulated environments (defense, aerospace, medical, etc.), • Experience with hybrid environments: bare metal, cloud, edge devices

Job Description Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud. Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking. It's how we stay driven, supportive, and always one step ahead as AI reshapes our world. Why this role? As a Senior Software Engineer, you'll play a significant role in shaping the technology at Snyk. You will work within a collaborative, forward-thinking team to build foundational, scalable infrastructure and ensure its broad adoption. This is an exciting opportunity to influence our core technology and tackle complex engineering challenges at scale. What You'll Do: * Analyze, design, and implement high-quality, well-tested solutions to complex problems. * Lead key efforts from idea to execution, demonstrating end-to-end ownership. * Collaborate cross-functionally to ensure our infrastructure is used broadly and consistently. * Mentor and coach junior engineers, helping to grow the next generation of talent at Snyk. * Build systems with a long-term mindset, focusing on design, robust testing, and scalability. * Resolve critical bugs and customer support escalations to ensure a high-quality user experience. What You Bring: * You have at least 7 years of commercial experience as a Software Engineer. * You bring expertise in large-scale software systems design and a solid understanding of fundamental computer science concepts. * You are proficient in at least one of our core programming languages (Go, TypeScript, or Python). * You have experience building highly reliable, scalable systems, whether they are microservice back-ends, web UIs, or platform automation tools. * You have a strong commitment to code quality and the value of giving and receiving feedback. * You are a clear and effective communicator, able to deal with ambiguity and work collaboratively. It'd Be Awesome If You Also… * Enjoy working on early-stage products and talking with customers to solve their problems. * Love tackling complex technical challenges and finding solutions where others see roadblocks. * Are comfortable with a hybrid work schedule and engaging with a team in person. * Embrace challenges and learn from them. * Have a great sense of humor! We take our mission seriously, but not ourselves. 🙌 #LI-ZS1 #LI-Hybrid We care deeply about the warm, inclusive environment we've created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. • Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development, • Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers, • Health benefits, employee assistance plans, and annual wellness allowance, • Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances

Job Description Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document, and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do • Collaborate with product and engineering teams to drive and enhance the entire lifecycle of our products, from design and development to deployment and operation., • Work closely with clients to deploy and troubleshoot our products in clients' AWS environments ensuring smooth integration and optimal performance., • Develop CloudFormation templates, Terraform modules, Python scripts, deployment frameworks, monitors, and self-healing tools to automate processes and improve efficiency., • Assist the software engineering team in building accurate monitoring and metrics systems for applications before they go into production., • Manage the internal AWS environments and network, ensuring stability, security, and scalability while keeping costs in check, • Participate in meetings with potential clients, working alongside solution architects to address their questions and concerns regarding integration of our products into their network and AWS accounts., • Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience., • At least 5 years of professional experience as a DevOps Engineer or in a similar role., • Extensive experience with Amazon Web Services (AWS), including AWS certification., • Proficiency in at least one programming language, such as Python (preferred), Java, or Go., • Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation., • Good understanding and practical experience using and deploying AI (ML, LLMs), • Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure., • Experience with cloud-native CI/CD workflows and tools, such as Github Actions or AWS CodeDeploy, • Familiarity with microservices architecture, containerization, and orchestration tools like Docker and Kubernetes., • Solid understanding of Linux basics, networking fundamentals, and security best practices., • 100% employer-paid benefits for all eligible employees and immediate family members., • Unlimited paid time off (PTO)., • 401K., • Flexible working arrangements - Remote work + office as needed., • Company paid Life Insurance, LTD/STD.

Job Description Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud. Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking. It's how we stay driven, supportive, and always one step ahead as AI reshapes our world. Why this role? As a Staff Software Engineer, you'll play a key role in shaping how modern organizations build and secure software at scale. You'll join a collaborative, forward-thinking team and help drive our mission to embed security into every part of the AI-native development lifecycle. As a part of our teams you'll have the opportunity to make an impact on a wide range of projects, from mastering existing services to building new, cutting-edge features. Your contributions will directly impact the success of our products and the security of millions of developers worldwide. What You'll Do: • Lead the design and implementation of highly reliable, large-scale solutions to our most complex technical problems., • Drive consensus with peers and senior leads to define and implement solutions for large-scale engineering challenges., • Take end-to-end ownership for critical efforts, acting as a technical lead to deliver broad, cross-functional projects., • Mentor and coach junior engineers, helping to grow the next generation of technical leaders at Snyk., • Communicate regularly and effectively to ensure alignment with team, peers, and senior leadership.What You Bring:, • You have at least 10 years of commercial experience as a Software Engineer., • You have experience in large-scale software systems design, with a strong grasp of computer science fundamentals., • You are proficient in at least one of our core programming languages (Go, TypeScript), with a willingness to learn new technologies., • You have a strong commitment to code quality and the value of giving and receiving feedback through code reviews., • You are a highly effective communicator, able to work collaboratively, be curious, and have a growth mindset.It'd Be Awesome If You Also…, • Have a proven track record of leading projects and inspiring engineering teams to achieve results., • Have hands-on experience with Kubernetes or major cloud platforms (AWS, GCP, Azure)., • Contribute to open-source projects and share your knowledge with the developer community., • Embrace the cloud-native world and have experience with Docker., • Love solving complex technical problems and finding solutions where others see roadblocks. #LI-ZS1 #LI-Hybrid We care deeply about the warm, inclusive environment we've created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. • Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development, • Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers, • Health benefits, employee assistance plans, and annual wellness allowance, • Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionApply now: AI Engineer , location is hybrid onsite The start date is ASAP for this 1 year contract position. Job Title: AI Engineer Location-Type: Hybrid, 3 days on-site Start Date Is: August 2025 Duration: 1 year Compensation Range: $62.94 to $83.92/hr Job Description: The implementation of AI systems across the company presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment. To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise grade AI systems and their supporting data pipelines universitywide Requirements : • AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices., • Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices., • Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices., • Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production., • Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications., • Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services., • Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards. System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences., • Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments., • Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks., • Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications., • AI Ethics and Governance: Understanding of ethical considerations in AI development, including bias mitigation, fairness, transparency, and compliance with relevant regulations. Problem-Solving: Exceptional problem-solving skills to troubleshoot complex AI system issues and optimize performance in real-world applications., • Project Management: Ability to manage AI development projects, prioritize tasks, and deliver solutions on schedule and within scope., • Cross-functional Collaboration: Demonstrated ability to work effectively with diverse stakeholders, translating business requirements into technical specifications and explaining technical concepts to non-technical audiences., • Communication Skills: Excellent verbal and written communication skills to document systems, present findings, and collaborate with cross-functional teams., • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred., • Minimum of 5 years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments., • Experience with AI system implementation in higher education or similar complex organizational settings preferred

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. We're looking for a Senior Staff Engineer who is passionate about exploring, adopting, and scaling the use of new technologies—including Artificial Intelligence (AI) and automation tools—to drive continuous improvement across our engineering organization. You delight in solving difficult problems, pay close attention to detail, and believe in the value of automation. You shine as a collaborator and excel as an individual contributor. You have the courage to lead and to tackle extremely difficult problems as a member of a powerful team. Your personal initiative and discipline allow you to thrive while working remotely. Your high degree of empathy for others makes you the kind of colleague everyone wants on their team. As an integral member of a fast-growing organization, you will put your fingerprint on what we do and how we do it. What You'll Be Working On: • Deliver extraordinary software that solves complex, real-world problems in healthcare., • Build high-quality, maintainable, and well-tested code across our entire application. We value the developer who focuses on "front-end" or "back-end", as specialization brings deep technical understanding, leading to the ability to solve difficult problems elegantly. We also value the developer who brings their own specialties, and who will enjoy working across our entire application stack., • Provide hands-on technical leadership in the evaluation, adoption, and implementation of new tools and emerging technologies (AI/ML, automation, developer productivity platforms)., • Work closely with our Design and Product teams as features move through the value stream., • Support your teammates in an environment where collaboration, respect, humility, diversity and empathy are prized.What You'll Bring to OneStudyTeam:, • You have a minimum of 10 years of professional software product development in an Agile environment, ideally developing SaaS products., • The applicant we are looking for has experience in functional programming, has a passion for learning and personal growth, and works best when working with a team of diverse but like-minded individuals., • Proficiency with TypeScript and Node.js for backend development is required., • You have great oral and written communication skills and are comfortable with collaboration in a virtual setting., • You demonstrate an enthusiastic interest to learn new technologies., • You are comfortable with modern infrastructure essentials like AWS, Docker, CI/CD tools, etc., • You are proficient with common development tools (e.g. Git, Jira) and processes (e.g. pairing, testing, code reviews). Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

Job DescriptionGTM Engineer (Full-Stack) | naptha.ai About this role Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers. Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment. * Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages * Work directly with the founders on small bet initiatives from idea to shipped product * Integrate our AI technology into real-world use cases and showcase its value to developers * Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels * Implement lightweight analytics to measure outcomes and iterate quickly * Collaborate with backend engineers and product to ensure velocity and alignment * Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks Why Join Us * Shape how our product gets into the hands of developers and how it evolves with them * Work directly with the founding team in a no-red-tape environment * Own projects end-to-end, from idea to implementation to impact * Be one of the first hires in a company built on technical excellence and fast iteration In this role, you’re a good fit if you have: * 3–6 years of experience as a full-stack engineer, ideally in early-stage startups * Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.) * Experience working with APIs, SDKs, or developer tooling is a big plus * Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code * Comfort jumping on calls with users, writing docs, or implementing quick fixes in production * Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools * Bonus: Experience in growth engineering, developer advocacy, or building for developers * Bonus: Experience working in an environment driven by experimentation and iteration About the hiring process * Video interview with hiring manager * Take-home project * Presentation of take-home project to panel * Interview with co-founders Compensation & Benefits * Highly competitive salary and significant equity stake * Role and compensation scaled to your experience * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and conference budget We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you. Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

Job Description Owl Labs is seeking a highly skilled and experienced Audio Digital Signal Processing (DSP) Engineer to join our team. In this role, you will be responsible for designing, developing, and optimizing advanced audio signal processing algorithms for our cutting-edge communications and conferencing products. WHAT YOU'LL DO • Design and implement state-of-the-art audio signal processing algorithms for real-time communication systems, • Develop and optimize audio enhancement features such as noise reduction, echo cancellation, and voice activity detection using both analytic and AI techniques, • Collaborate with cross-functional teams to integrate audio processing solutions into our product ecosystem, • Conduct research on emerging audio technologies and recommend innovative solutions to improve product performance, • Bachelor's degree in Acoustics, Audio Engineering, Electrical Engineering, or related field (Masters preferred)EXPERIENCE, • 5+ years of experience in DSP and audio signal processing, preferably in the conferencing, communications, and/or pro audio industry, • Strong expertise in digital signal processing techniques, particularly those applicable to voice and audio, • Proficiency in MATLAB, Python, C/C++ programming and optimization for embedded systems, • Experience with audio coding standards and wireless audio technologiesSKILLS, • Experience with real-time audio processing and low-latency systems, • Familiarity with audio codecs, internet audio protocols, and relevant industry standards, • Demonstrated ability to translate complex mathematical concepts into efficient, production-ready code, • Excellent problem-solving and analytical skills, • Passion for creating high-quality, innovative audio solutions, • Adaptability to rapidly changing technology landscapes, • Strong communication abilities, both written and verbal, • Ability to work independently and as part of a collaborative team, • Fully paid medical, Dental, and Vision Insurance for you and your dependents, • Unlimited PTO, • Generous Parental Leave, • Work From Home Stipend, • Commuter Benefit, • Flexibility to work remotely or in a hybrid setting (based on location) Owl Labs is an Equal Opportunity Employer committed to our values of embracing inclusivity and creating a culture where everyone feels respected and connected, no matter the location of their work environment. We invite applications from people of all walks of life and are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need accommodations due to a disability, please let us know. Who We Are Owl Labs is a collaborative tech company, creating an equalized meeting and learning experience for all, wherever participants may be. Powering hybrid teams and remote work is in our DNA. Owl Labs has been a leader when it comes to celebrating and connecting hybrid teams and classrooms -- meaning both in-office and remote workers, in-room students and at-home learning. We're best known for the Meeting Owl product line, a smart 360 camera, mic, speaker all-in-one solution. Sitting in the center of the table, the Meeting Owl uses vision and voice recognition to shift the camera to focus on who's speaking, giving all participants a feeling as if they're in the same room. With the continued rise of hybrid teams and remote workers, our products allow for better collaboration and productivity no matter your location. Our award-winning product, the Meeting Owl Pro, was named one of TIME magazine's 100 Best Inventions of 2020 and has been recognized by CES Innovation Awards 2020, Red Dot Design Awards 2020, SXSW Innovation Awards 2020. Our team was recognized as an Inc. Best Workplaces 2020 and 2021 and named on the esteemed Inc.'s Editor's List.

Job DescriptionAbout Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world's leading enterprises. We're on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren't generic copilots. They're fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with 130% year-over-year growth, we're scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Account Management Organization Mission You will be part of the Account Management organization, focused on post-sales delivery and customer success. AI Outcomes Consultants are dedicated to driving ARR by delivering on technical outcomes within existing accounts and building AI workflows that accelerate adoption, deliver high quality multi-lingual content, and create lasting value from their Smartcat investment You will work closely with the Account Delivery team to deliver complex strategic accounts, with Solutions Engineers to capture requirements and discover pain points, and with Product & Engineering to shape platform capabilities based on real-world customer needs. Your mission is to translate customer goals into working solutions — configuring integrations, designing prompts and AI agents, and managing technical delivery to achieve sustained value. AI Outcomes Consultants are uniquely positioned to influence both the customer's operational success and Smartcat's product evolution, ensuring our platform remains ahead of the market and continues to drive transformation in localization and AI workflows. What you will be doing: As an AI Outcomes Consultants at Smartcat, you will be responsible for ensuring customers achieve measurable outcomes and lasting value from their Smartcat deployment. In this role, you will: • Onboard future state workflows — Assess customer pain points and workflows and design optimized Smartcat platform deployment to maximize ROI. Onboard diverse users to ensure they can apply the platform effectively to influence their operations., • Design AI Agents & skills — Create and iterate base prompts, chains of thought, and platform agent skills to meet future state customized workflows for the business outcomes they are looking to achieve. Can build, manage, troubleshoot end to end API workflows with customer systems and Smartcat platform., • Build & Configure — Identify content sources and set up AI agents, workflows, and end-to-end processes that support seamless onboarding and operational efficiency. Act as the technical lead for higher-level integrations with platforms like Drupal, AEM, SFCC, and other enterprise systems., • Own Technical Outcomes — Serve as the primary point of contact for Smartcat's strategic accounts, ensuring translation results that deliver the expected quality. Submit bugs, feature requests to customize our brand new platform with customer needs., • Collaborate Cross-Functionally — Work with GTM teams to gather scope and conduct pain discovery, and with Product & Engineering to identify feature gaps and propose enhancements., • Leverage Linguistic Expertise — Apply linguistic principles to enforce consistency and quality standards across diverse customer implementations. Identify opportunities across accounts to develop reusable skills, prompts, and features that accelerate value for multiple customers., • Lead Project Management & Executive Communication — Manage technical projects and stakeholder alignment by overseeing timelines, milestones, and challenges, while translating complex solutions into clear, actionable recommendations for audiences ranging from technical teams to C-suite executives., • Platform Demonstration - Build and deliver demonstrations to new and existing teams to showcase pain-workflow functionality. What we're looking for: • BS/MS in engineering, analytics, or a related field with 3+ years in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers., • Experience with REST APIs, Github, AI SaaS workflows, enterprise change management, and technical solution design, integrations., • Skilled in troubleshooting complex implementation issues and creating custom solutions with software like LMS, CMS, PIMs, DAMs., • Excellent communication skills with experience presenting to both technical and executive audiences., • Strong negotiation, influencing, and client relationship management skills. Proven ability to deliver post-sale support, training, and adoption initiatives., • Entrepreneurial mindset with curiosity, problem-solving ability, and collaborative approach., • Willingness to travel up to 40%.Why joining Smartcat might be your best move so far